{"id":1288,"date":"2023-07-27T00:11:30","date_gmt":"2023-07-27T00:11:30","guid":{"rendered":"https:\/\/statorials.org\/ko\/%e1%84%8b%e1%85%a6%e1%84%90%e1%85%a1-%e1%84%8c%e1%85%a6%e1%84%80%e1%85%a9%e1%86%b8r\/"},"modified":"2023-07-27T00:11:30","modified_gmt":"2023-07-27T00:11:30","slug":"%e1%84%8b%e1%85%a6%e1%84%90%e1%85%a1-%e1%84%8c%e1%85%a6%e1%84%80%e1%85%a9%e1%86%b8r","status":"publish","type":"post","link":"https:\/\/statorials.org\/ko\/%e1%84%8b%e1%85%a6%e1%84%90%e1%85%a1-%e1%84%8c%e1%85%a6%e1%84%80%e1%85%a9%e1%86%b8r\/","title":{"rendered":"R\uc5d0\uc11c \uc5d0\ud0c0 \uc81c\uacf1\uc744 \uacc4\uc0b0\ud558\ub294 \ubc29\ubc95"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\"><a href=\"https:\/\/statorials.org\/ko\/\u110b\u1166\u1110\u1161-\u110c\u1166\u1100\u1169\u11b8\/\" target=\"_blank\" rel=\"noopener\">\uc5d0\ud0c0 \uc81c\uacf1\uc740<\/a> ANOVA \ubaa8\ub378\uc5d0\uc11c \uc77c\ubc18\uc801\uc73c\ub85c \uc0ac\uc6a9\ub418\ub294 <a href=\"https:\/\/statorials.org\/ko\/\u1112\u116d\u1100\u116a-\u110f\u1173\u1100\u1175\/\" target=\"_blank\" rel=\"noopener\">\ud6a8\uacfc \ud06c\uae30<\/a> \uc758 \ucc99\ub3c4\uc785\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\ubd84\uc0b0 \ubd84\uc11d \ubaa8\ub378\uc758 \uac01 \uc8fc \ud6a8\uacfc \ubc0f \uc0c1\ud638 \uc791\uc6a9 \ud6a8\uacfc\uc640 \uad00\ub828\ub41c \ubd84\uc0b0 \ube44\uc728\uc744 \uce21\uc815\ud558\uace0<\/span> <span style=\"color: #000000;\">\ub2e4\uc74c\uacfc \uac19\uc774 \uacc4\uc0b0\ub429\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>\uc5d0\ud0c0 \uc81c\uacf1 = SS <sub>\ud6a8\uacfc<\/sub> \/ <sub>\ucd1d<\/sub> SS<\/strong><\/span><\/p>\n<p> <span style=\"color: #000000;\">\uae08:<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\"><strong>SS <sub>\ud6a8\uacfc<\/sub> :<\/strong> \ubcc0\uc218\uc5d0 \ub300\ud55c \ud6a8\uacfc \uc81c\uacf1\uc758 \ud569\uc785\ub2c8\ub2e4.<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong><sub>\ucd1d<\/sub> SS:<\/strong> \ubd84\uc0b0 \ubd84\uc11d \ubaa8\ub378\uc758 \ucd1d \uc81c\uacf1\ud569\uc785\ub2c8\ub2e4.<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\">\uc5d0\ud0c0 \uc81c\uacf1 \uac12\uc758 \ubc94\uc704\ub294 0\uc5d0\uc11c 1\uae4c\uc9c0\uc774\uba70, \uac12\uc774 1\uc5d0 \uac00\uae4c\uc6b8\uc218\ub85d \ubaa8\ub378\uc758 \ud2b9\uc815 \ubcc0\uc218\ub85c \uc124\uba85\ud560 \uc218 \uc788\ub294 \ubd84\uc0b0\uc758 \ube44\uc728\uc774 \ub354 \ub192\ub2e4\ub294 \uac83\uc744 \ub098\ud0c0\ub0c5\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\uc5d0\ud0c0 \uc81c\uacf1 \uac12\uc744 \ud574\uc11d\ud558\ub294 \ub370\ub294 \ub2e4\uc74c\uacfc \uac19\uc740 \uacbd\ud5d8 \ubc95\uce59\uc774 \uc0ac\uc6a9\ub429\ub2c8\ub2e4.<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\"><strong>.01:<\/strong> \uc791\uc740 \ud6a8\uacfc \ud06c\uae30<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>.06:<\/strong> \ud3c9\uade0 \ud6a8\uacfc \ud06c\uae30<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>.14 \uc774\uc0c1:<\/strong> \ud6a8\uacfc \ud06c\uae30\uac00 \ud07c<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\">\uc774 \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 R\uc758 ANOVA \ubaa8\ub378\uc5d0\uc11c \ubcc0\uc218\uc5d0 \ub300\ud55c \uc5d0\ud0c0 \uc81c\uacf1\uc744 \uacc4\uc0b0\ud558\ub294 \ubc29\ubc95\uc5d0 \ub300\ud55c \ub2e8\uacc4\ubcc4 \uc608\ub97c \uc81c\uacf5\ud569\ub2c8\ub2e4.<\/span><\/p>\n<h2> <span style=\"color: #000000;\"><strong>1\ub2e8\uacc4: \ub370\uc774\ud130 \uc0dd\uc131<\/strong><\/span><\/h2>\n<p> <span style=\"color: #000000;\">\uc6b4\ub3d9 \uac15\ub3c4\uc640 \uc131\ubcc4\uc774 \uccb4\uc911 \uac10\ub7c9\uc5d0 \uc601\ud5a5\uc744 \ubbf8\uce58\ub294\uc9c0 \ud655\uc778\ud558\uace0 \uc2f6\ub2e4\uace0 \uac00\uc815\ud574 \ubcf4\uaca0\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\uc774\ub97c \ud14c\uc2a4\ud2b8\ud558\uae30 \uc704\ud574 \uc6b0\ub9ac\ub294 \ub0a8\uc131 30\uba85\uacfc \uc5ec\uc131 30\uba85\uc744 \ubaa8\uc9d1\ud558\uc5ec \ud55c \ub2ec \ub3d9\uc548 \uc6b4\ub3d9\ud558\uc9c0 \uc54a\uac70\ub098 \uac00\ubcbc\uc6b4 \uc6b4\ub3d9 \ub610\ub294 \uac15\ub82c\ud55c \uc6b4\ub3d9 \ud504\ub85c\uadf8\ub7a8\uc744 \ub530\ub974\ub3c4\ub85d \uac01 10\uba85\uc744 \ubb34\uc791\uc704\ub85c \ud560\ub2f9\ud558\ub294 \uc2e4\ud5d8\uc5d0 \ucc38\uc5ec\ud588\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\ub2e4\uc74c \ucf54\ub4dc\ub294 \uc791\uc5c5 \uc911\uc778 \ub370\uc774\ud130\ub97c \ubcf4\uad00\ud560 \ub370\uc774\ud130 \ud504\ub808\uc784\uc744 \ub9cc\ub4dc\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span><\/p>\n<pre style=\"background-color: #e5e5e5; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#make this example reproducible\n<\/span>set.seed(10)\n\n<span style=\"color: #008080;\">#create data frame\n<\/span>data &lt;- data.frame(gender= <span style=\"color: #3366ff;\">rep<\/span> (c(\" <span style=\"color: #008000;\">Male<\/span> \", \" <span style=\"color: #008000;\">Female<\/span> \"), <span style=\"color: #3366ff;\">each<\/span> = 30),\n                   exercise= <span style=\"color: #3366ff;\">rep<\/span> (c(\" <span style=\"color: #008000;\">None<\/span> \", \" <span style=\"color: #008000;\">Light<\/span> \", \"Intense\"), <span style=\"color: #3366ff;\">each<\/span> = 10, <span style=\"color: #3366ff;\">times<\/span> =2),\n                   weight_loss=c(runif(10, -3, 3), runif(10, 0, 5), runif(10, 5, 9),\n                                 runif(10, -4, 2), runif(10, 0, 3), runif(10, 3, 8)))\n\n<span style=\"color: #008080;\">#view first six rows of data frame\n<\/span>head(data)\n\n# gender exercise weight_loss\n#1 Male None 0.04486922\n#2 Male None -1.15938896\n#3 Male None -0.43855400\n#4 Male None 1.15861249\n#5 Male None -2.48918419\n#6 Male None -1.64738030\n\n<span style=\"color: #008080;\">#see how many participants are in each group<\/span>\ntable(data$gender, data$exercise)\n\n# Intense Light None\n# Female 10 10 10\n# Male 10 10 10<\/strong><\/pre>\n<h2> <span style=\"color: #000000;\"><strong>2\ub2e8\uacc4: \ubd84\uc0b0 \ubd84\uc11d \ubaa8\ub378 \uc801\ud569<\/strong><\/span><\/h2>\n<p> <span style=\"color: #000000;\">\ub2e4\uc74c \ucf54\ub4dc\ub294 \uc6b4\ub3d9\uacfc \uc131\ubcc4\uc744 \uc694\uc778\uc73c\ub85c \uc0ac\uc6a9\ud558\uace0 \uccb4\uc911 \uac10\ub7c9\uc744 <a href=\"https:\/\/statorials.org\/ko\/\u1107\u1167\u11ab\u1109\u116e-\u1109\u1165\u11af\u1106\u1167\u11bc-\u110b\u1173\u11bc\u1103\u1161\u11b8\/\" target=\"_blank\" rel=\"noopener\">\ubc18\uc751 \ubcc0\uc218<\/a> \ub85c \uc0ac\uc6a9\ud558\uc5ec <a href=\"https:\/\/statorials.org\/ko\/\u110b\u1163\u11bc\u1107\u1161\u11bc\u1112\u1163\u11bc-\u110b\u1161\u1102\u1169\u1107\u1161\/\" target=\"_blank\" rel=\"noopener\">\uc591\ubc29\ud5a5 ANOVA\ub97c<\/a> \ud53c\ud305\ud558\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span><\/p>\n<pre style=\"background-color: #e5e5e5; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#fit the two-way ANOVA model<\/span>\nmodel &lt;- aov(weight_loss ~ gender + exercise, data = data)\n\n<span style=\"color: #008080;\">#view the model output<\/span>\nsummary(model)\n\n            Df Sum Sq Mean Sq F value Pr(&gt;F)    \ngender 1 15.8 15.80 9.916 0.00263 ** \nexercise 2 505.6 252.78 158.610 &lt; 2nd-16 ***\nResiduals 56 89.2 1.59       \n<\/strong><\/pre>\n<h2> <span style=\"color: #000000;\"><strong>3\ub2e8\uacc4: \uc5d0\ud0c0 \uc81c\uacf1 \uacc4\uc0b0<\/strong><\/span><\/h2>\n<p> <span style=\"color: #000000;\"><strong>lsr<\/strong> \ud328\ud0a4\uc9c0\uc758 <a href=\"https:\/\/www.rdocumentation.org\/packages\/lsr\/versions\/0.5\/topics\/etaSquared\" target=\"_blank\" rel=\"noopener\">etaSquared()<\/a> \ud568\uc218\ub97c \uc0ac\uc6a9\ud558\uc5ec \ubaa8\ub378\uc758 \uac01 \ubcc0\uc218\uc5d0 \ub300\ud55c \uc5d0\ud0c0 \uc81c\uacf1 \ud6a8\uacfc \ud06c\uae30\ub97c \uacc4\uc0b0\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<pre style=\"background-color: #e5e5e5; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#load lsr package<\/span>\n<span style=\"color: #993300;\">library<\/span> (lsr)\n\n<span style=\"color: #008080;\">#calculate Eta Squared<\/span>\netaSquared(model)\n\n            eta.sq eta.sq.part\ngender 0.0258824 0.1504401\nexercise 0.8279555 0.8499543\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\uc139\uc2a4\uc640 \uc6b4\ub3d9\uc5d0 \ub300\ud55c \uc5d0\ud0c0 \uc81c\uacf1\uc740 \ub2e4\uc74c\uacfc \uac19\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\">\uc131\ubcc4\uc5d0 \ub300\ud55c \uc5d0\ud0c0 \uc81c\uacf1: <strong>0.0258824<\/strong><\/span><\/li>\n<li> <span style=\"color: #000000;\">\uc6b4\ub3d9\uc5d0 \ub300\ud55c \uc5d0\ud0c0 \uc81c\uacf1: <strong>0.8279555<\/strong><\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\">\uc6b0\ub9ac\ub294 \uc6b4\ub3d9\uc5d0 \ub300\ud55c \ud6a8\uacfc \ud06c\uae30\uac00 \ub9e4\uc6b0 \ud070 \ubc18\uba74 \uc131\ubcc4\uc5d0 \ub300\ud55c \ud6a8\uacfc \ud06c\uae30\ub294 \ub9e4\uc6b0 \uc791\ub2e4\ub294 \uacb0\ub860\uc744 \ub0b4\ub9b4 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\uc774 \uacb0\uacfc\ub294 ANOVA \ud14c\uc774\ube14 \uacb0\uacfc\uc5d0 \ud45c\uc2dc\ub41c p \uac12\uc5d0 \ud574\ub2f9\ud569\ub2c8\ub2e4. \uc6b4\ub3d9\uc5d0 \ub300\ud55c p-\uac12(&lt;0.000)\uc740 \uc131\ubcc4\uc5d0 \ub300\ud55c p-\uac12(0.00263)\ubcf4\ub2e4 \ud6e8\uc52c \uc791\uc73c\uba70, \uc774\ub294 \uc6b4\ub3d9\uc774 \uccb4\uc911 \uac10\ub7c9 \uc608\uce21\uc5d0 \ud6e8\uc52c \ub354 \uc911\uc694\ud568\uc744 \ub098\ud0c0\ub0c5\ub2c8\ub2e4.<\/span><\/p>\n<h2> <span style=\"color: #000000;\"><strong>\ucd94\uac00 \ub9ac\uc18c\uc2a4<\/strong><\/span><\/h2>\n<p> <span style=\"color: #000000;\">\ub2e4\uc74c \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 R\uc5d0\uc11c \ub2e4\uc591\ud55c ANOVA \ubaa8\ub378\uc744 \ub9de\ucd94\ub294 \ubc29\ubc95\uc744 \uc124\uba85\ud569\ub2c8\ub2e4.<\/span><\/p>\n<p> <a href=\"https:\/\/statorials.org\/ko\/\u1103\u1161\u11ab\u1107\u1161\u11bc\u1112\u1163\u11bc-anova-r\/\" target=\"_blank\" rel=\"noopener\">R\uc5d0\uc11c \uc77c\uc6d0 \ubd84\uc0b0 \ubd84\uc11d\uc744 \uc218\ud589\ud558\ub294 \ubc29\ubc95<\/a><br \/> <a href=\"https:\/\/statorials.org\/ko\/\u110b\u1161\u1102\u1169\u1107\u1161-\u1105\u1161-\u110b\u1163\u11bc\u1107\u1161\u11bc\u1112\u1163\u11bc\/\" target=\"_blank\" rel=\"noopener\">R\uc5d0\uc11c \uc591\ubc29\ud5a5 ANOVA\ub97c \uc218\ud589\ud558\ub294 \ubc29\ubc95<\/a><br \/> <a href=\"https:\/\/statorials.org\/ko\/r\u110b\u1174-\u1107\u1161\u11ab\u1107\u1169\u11a8-\u110e\u1173\u11a8\u110c\u1165\u11bc-anova\/\" target=\"_blank\" rel=\"noopener\">R\uc5d0\uc11c \ubc18\ubcf5 \uce21\uc815 ANOVA\ub97c \uc218\ud589\ud558\ub294 \ubc29\ubc95<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\uc5d0\ud0c0 \uc81c\uacf1\uc740 ANOVA \ubaa8\ub378\uc5d0\uc11c \uc77c\ubc18\uc801\uc73c\ub85c \uc0ac\uc6a9\ub418\ub294 \ud6a8\uacfc \ud06c\uae30 \uc758 \ucc99\ub3c4\uc785\ub2c8\ub2e4. \ubd84\uc0b0 \ubd84\uc11d \ubaa8\ub378\uc758 \uac01 \uc8fc \ud6a8\uacfc \ubc0f \uc0c1\ud638 \uc791\uc6a9 \ud6a8\uacfc\uc640 \uad00\ub828\ub41c \ubd84\uc0b0 \ube44\uc728\uc744 \uce21\uc815\ud558\uace0 \ub2e4\uc74c\uacfc \uac19\uc774 \uacc4\uc0b0\ub429\ub2c8\ub2e4. \uc5d0\ud0c0 \uc81c\uacf1 = SS \ud6a8\uacfc \/ \ucd1d SS \uae08: SS \ud6a8\uacfc : \ubcc0\uc218\uc5d0 \ub300\ud55c \ud6a8\uacfc \uc81c\uacf1\uc758 \ud569\uc785\ub2c8\ub2e4. \ucd1d SS: \ubd84\uc0b0 \ubd84\uc11d \ubaa8\ub378\uc758 \ucd1d \uc81c\uacf1\ud569\uc785\ub2c8\ub2e4. \uc5d0\ud0c0 \uc81c\uacf1 \uac12\uc758 \ubc94\uc704\ub294 [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[20],"tags":[],"class_list":["post-1288","post","type-post","status-publish","format-standard","hentry","category-20"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v21.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>R\uc5d0\uc11c \uc5d0\ud0c0 \uc81c\uacf1\uc744 \uacc4\uc0b0\ud558\ub294 \ubc29\ubc95 - \ud1b5\uacc4\ud559<\/title>\n<meta name=\"description\" content=\"\uc774 \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 \ub2e8\uacc4\ubcc4 \uc608\uc81c\ub97c \ud1b5\ud574 R\uc5d0\uc11c \uc5d0\ud0c0 \uc81c\uacf1\uc744 \uacc4\uc0b0\ud558\ub294 \ubc29\ubc95\uc744 \uc124\uba85\ud569\ub2c8\ub2e4.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" 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